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电站锅炉的安全运行主要取决于燃烧的稳定性,实时监测燃烧状态是否稳定,并及时作出判断,对电站锅炉安全、经济运行有着重要的实际意义。以某电厂的监控信息系统(SIS)中的历史数据库作为分析平台,基于非线性动力系统的复杂性刻画理论,提出利用Kolmogorov复杂性测度分析炉膛压力信号的波动程度,从而能够对燃烧状态做定量评价。首先对炉膛压力信号进行必要的预处理,然后分析了锅炉高负荷稳定、锅炉低负荷稳定、锅炉高负荷波动、锅炉低负荷波动、启磨、停磨、点火与停炉等8种典型燃烧工况下的炉膛压力信号复杂性。最后通过一个实例分析,表明复杂性测度能有效区分正常燃烧工况和不稳定工况,并能在一定程度上实现燃烧恶化的预警,为今后电站锅炉燃烧优化奠定基础。
The safe operation of power plant boilers mainly depends on the stability of combustion. It is of great practical significance to monitor the combustion status in real time and make timely judgment, which is of great practical significance to the safety and economic operation of power plant boilers. Based on the historical database of a power plant’s monitoring information system (SIS) and based on the complexity characterization theory of nonlinear dynamical systems, a Kolmogorov complexity measure is proposed to analyze the fluctuating degree of the pressure signal in the hearth so that the combustion state can be quantified Evaluation. First of all, the furnace pressure signal is pretreated as necessary. Then eight kinds of typical burners, including boiler high load stability, low boiler load stability, high boiler load fluctuation, boiler low load fluctuation, start grinding, stop grinding, ignition and shutdown, Furnace pressure signal complexity. Finally, an example is given to show that the complexity measure can effectively distinguish between normal combustion conditions and unstable conditions, and can achieve early warning of combustion deterioration to a certain extent, laying a foundation for the future combustion optimization of power station boilers.